AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_Linear Linear logloss 1.66983 47.02 0.2917
2_Default_LightGBM LightGBM logloss 0.62357 5.63 0.2773
3_Default_Xgboost Xgboost logloss 0.611399 421.02 0.285
4_Default_CatBoost CatBoost logloss 0.616243 55.2 0.3436
5_Default_NeuralNetwork Neural Network logloss 2.23502 8.64 0.3918
6_Default_RandomForest Random Forest logloss 0.6278 42.73 0.3675
11_LightGBM LightGBM logloss 0.634161 5.48 0.2782
7_Xgboost Xgboost logloss 0.625457 406.41 0.2809
15_CatBoost CatBoost logloss 0.617327 99.51 0.3408
19_RandomForest Random Forest logloss 0.616654 27.14 0.3325
23_NeuralNetwork Neural Network logloss 2.28946 9.04 0.3891
12_LightGBM LightGBM logloss 0.663489 5.66 0.2851
8_Xgboost Xgboost logloss 0.630069 409.3 0.2822
16_CatBoost CatBoost logloss 0.629594 99.23 0.3626
20_RandomForest Random Forest logloss 0.615712 22.55 0.3197
24_NeuralNetwork Neural Network logloss 0.893568 9.77 0.3886
13_LightGBM LightGBM logloss 0.635894 6.07 0.2787
9_Xgboost Xgboost logloss 0.631836 404.38 0.2839
17_CatBoost CatBoost logloss 0.606855 67.95 0.348
21_RandomForest Random Forest logloss 0.622754 25.19 0.3309
25_NeuralNetwork Neural Network logloss 1.80514 10.13 0.3891
14_LightGBM LightGBM logloss 0.631686 7.14 0.2783
10_Xgboost Xgboost logloss 0.693147 408.67 0.2915
17_CatBoost_RandomFeature CatBoost logloss 0.640051 61.36 0.3448
17_CatBoost_SelectedFeatures CatBoost logloss 0.586664 3.38 0.0198
20_RandomForest_SelectedFeatures Random Forest logloss 0.594476 4.78 0.0399
2_Default_LightGBM_SelectedFeatures LightGBM logloss 0.615567 3.19 0.0174
24_NeuralNetwork_SelectedFeatures Neural Network logloss 0.799705 3.77 0.0271
26_CatBoost_SelectedFeatures CatBoost logloss 0.591951 3.51 0.0202
27_CatBoost_SelectedFeatures CatBoost logloss 0.60816 3.79 0.0201
28_RandomForest_SelectedFeatures Random Forest logloss 0.592273 5 0.0392
29_CatBoost CatBoost logloss 0.618606 52.27 0.3502
30_Xgboost Xgboost logloss 0.625119 405.85 0.2858
31_LightGBM_SelectedFeatures LightGBM logloss 0.607325 3.62 0.0196
32_LightGBM_SelectedFeatures LightGBM logloss 0.610673 3.64 0.0173
33_RandomForest Random Forest logloss 0.618311 23.64 0.3236
34_LightGBM LightGBM logloss 0.630705 7.85 0.2778
35_LightGBM LightGBM logloss 0.631686 7.95 0.2812
36_Xgboost Xgboost logloss 0.622813 404.59 0.2839
the best Ensemble Ensemble logloss 0.576474 0.88 0.4025

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance

features importance across models

Spearman Correlation of Models

models spearman correlation